FURAP – TRC Research Proposals

Information Technology Department

Research Project Title

SMART SEAWEED FARMING: SUPPORT FOR SUSTAINABLE ECONOMY OF OMAN

Implementing Agency

           

The Research Council

Period

September 2017 – June 2018

Main Faculty Mentor

Dr. Lenin Jeevanantham

Research Team Members

KHALID SALIM MOHAMMED AL-JAHWARI (56S1126)

SHAHAB HAMED ABDULLAH AL HAKMANI (56S1158)

GALIB ALI KHALAF AL-SAIDI (56S11109)

Institution

Al Musanna College of Technology (ACT)

 

Abstract

For a few years now the aquaculture industry in Oman is gaining more and more attention from both the public and private sector. In an attempt to further diversify the Omani economy beyond petroleum, aquaculture has been identified as a key pillar for regional economic policy. 

Farming seaweed is a new job opportunity. It will bring money and give the possibility to improve the standard of living. Seaweed is easy to grow, sustainable and nutritious. It is considered to be second largest freshwater farming industry in the world. Seaweed farming is not harmful to the environment. It does not require fertilizers and water cleaning, so, the environmental impact is minimal.

This Project work aims to improve the livelihood and income for the local people living along the coastal region of the Sultanate of Oman by cultivating seaweeds at smaller scales in smarter ways. The water level, light, salt value and temperature which suits for the planted crop can be easily monitored with the help of sensors and course of action can be taken accordingly.

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Controlling of Traffic based on density with android  

ACT Students Details:

Team Leader:

 Amna Khamis Harith Al Khanbashi.

Team Members:

Zamzam Mohammed Ali Al Hashmi

Marwa Khamis Salim al Harasi

Nasra Said Salim AlObaidani

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Main Faculty Mentor

Faheem Ahmad…………………………………………

Project Description:

In modern life we have to face with many problems one of which is traffic congestion becoming more serious day after day. It is said that the high volume of vehicles, the inadequate infrastructure and the irrational distribution of the development are main reasons for increasing traffic jam. The major cause leading to traffic congestion is the high number of vehicle which was caused by the population and the development of economy. Traffic congestion is a condition on road networks that occurs as use increases, and is characterized by slower speeds, longer trip times, and increased vehicular queuing.

The most common example is the physical use of roads by vehicles. When traffic demand is great enough that the interaction between vehicles slows the speed of the traffic stream, these results in some congestion .As demand approaches the capacity of a road (or of the intersections along the road), extreme traffic congestion sets in. When vehicles are fully stopped for periods of time, this is colloquially known as a traffic jam or traffic snarl-up. Traffic congestion can lead to drivers becoming frustrated and engaging in road rage. In order to avoid the congestion in the traffic in traffic environments, Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn the driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver, and thus, significantly increase driving safety and comfort. Generally, traffic signs provide the driver various information for safe and efficient navigation. Automatic recognition of traffic signs is, therefore, important for automated intelligent driving vehicle or driver assistance systems. However, identification of traffic signs with respect to various natural background viewing conditions still remains challenging tasks. Real time automatic vision based traffic light control has been recently the interest of many researchers, due to the frequent traffic jams at major junctions and its resulting wastage of time.

 

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Tracking System using passive solar RFID Tags & Ultra Frequency RFID Readers for Identifying the Individual in the specified area

 

FURAP – TRC Research Proposal

Call #3

Approval: Aug 2015

Completion: Aug 2016

Fund Amount : 2400 rials.

 ACT Students:

Team Leader:

51S11178 - MANAL TALIB MOHAMMED AL ANBOORI

Team Members:

56S1192 - HANAN SALIM ABDULLAH AL-FAZARI

56S1157 - FATMA HAMDAN SAIF AL-NADABI

Main Faculty Mentor:

Ms. Tamilarasi.G (IT Lecturer)

Project Description:

Over recent years the organization or the government were concentrating on providing Identity cards for the people under them to manage their availability and also to track their working records. The recent growth in human or animals tracking is based on the one of the upcoming technology called Radio Frequency Identification System.

A Study on the RFID tags shows that Identification is a essential thought in user-oriented and universal computing. Users are usually authenticated by passwords or biometric data. Most applications require some kind of ID in order to deliver personalized information or restrict access to sensitive data and procedures. In a world of universal computing, discreet object identification enables the continuous connection between real-world objects and their virtual representations. Reliable identification of multiple human is especially challenging if many people are present at the same time. Several technologies are available, but they all have limits. Radio frequency identification (RFID) promises to be an discreet, practical, cheap, yet flexible technology for identification of individual instances. There is a wide variety of products and technologies available. Research efforts are under way to develop radio frequency tags that are either small enough to be embedded even into paper in an unobtrusive way, or cheap enough to be utilized for larger group of people with less cost. In most applications today, typically a single RFID tag is recognized at a time. In electronic article surveillance, for example, it is sufficient to recognize only one unpaid item in order to take appropriate measures. In many other applications, objects are presented sequentially to the reader device, e.g. on a conveyor belt, thus making it unnecessary to recognize more than one item at a time. This allows for very fast object identification. The ability to recognize many tags simultaneously is crucial for more advanced applications; however, we have implemented two applications that use multiple tag identification. Many RFID tags are presented simultaneously to the reader device in both applications and it is critical to reliably identify all of them. The important difficulty faced in using RFID passive tags are the power supply.

 The Most significant barrier to improve passive RFID tags is the limitation on the amount of power that can be harvested for operation. The aim of this project is to incorporate the solar harvesting capability into existing passive RFID tags without changing the tag association process. Our approach employs the tag’s antenna as a dual function element in which the antenna simultaneously harvest RF energy, Communicates with RFID reader and harvest solar energy for auxiliary power.

 Radio frequency identification (RFID) is the technology that put an RFID tag on animals or people, so that they can be identified, tracked, and managed automatically. With its wide application in the automobile assembly industry, warehouse management and the supply chain network, RFID has been recognized as the next promising technology in serving the positioning purpose. Existing positioning technologies such as GPS are not available indoors as the terminal cannot get the signal from satellites. To enhance the availability of the positioning systems for indoors, the development of RFID positioning system for locating objects or people have become a hot topic in recent research. Compared with conventional active and high‐cost solutions, in this project we are going to implement the feasibility of using passive RFID tags that harvests solar energy and track the people to provide real time information for tracking movement.

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